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Probabilistic Graphical Models: A Concise Tutorial

Published in ArXiv.org • Jul 23, 2025
Authors:
Jacqueline R. M. A. Maasch
,
Willie Neiswanger
,
Stefano Ermon

Abstract

Probabilistic graphical modeling is a branch of machine learning that uses probability distributions to describe the world, make predictions, and support decision-making under uncertainty. Underlying this modeling framework is an elegant body of theory that bridges two mathematical traditions: proba...

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